Aiding Cascading Analysis Modelling With High-Performance-Computing Technology

IFAC PAPERSONLINE(2018)

引用 1|浏览12
暂无评分
摘要
Cascading outage analysis is important to minimize the risk of power system blackouts. To sustain power system reliability and manage the risk of blackouts requires simulation tools that are able to analyze and assess the consequence of cascading events quickly and efficiently. This paper presents a cascading analysis feature that was recently implemented upon an integrated state estimation and contingency analysis software package to utilize the power of high performance computing (HPC) techniques. The performance of the developed cascading analysis function, including the consequence analysis and scalability, is demonstrated through three test systems that represent small, medium, and large power systems. The package is able to perform cascading analysis with full N-1 contingency for a European open model within 20 seconds with 2,048 cores. A discussion of HPC implementation is also provided. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
更多
查看译文
关键词
Energy Management Systems (EMS), Situational Awareness, High Performance Computing, Contingency Analysis, Cascading Failure
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要